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海马体作为不连续事件的关联者。

The hippocampus as an associator of discontiguous events.

作者信息

Wallenstein G V, Eichenbaum H, Hasselmo M E

机构信息

Dept of Psychology, Harvard University, Cambridge, MA 02138, USA.

出版信息

Trends Neurosci. 1998 Aug;21(8):317-23. doi: 10.1016/s0166-2236(97)01220-4.

Abstract

The hippocampus has long been thought to be an important cortical region for associative learning and memory. After several decades of experimental and theoretical studies, a picture is emerging slowly of the generic types of learning tasks that this neural structure might be essential for solving. Recently, there have been attempts to unify electrophysiological and behavioral observations from rodents performing spatial learning tasks with data from primates performing various tests of conditional and discrimination learning. Most of these theoretical frameworks have rested primarily on behavioral observations. Complementing these perspectives,we ask the question: given certain physiological constraints at the neuronal and cortical level, what class of learning problems is the hippocampus, in particular, most suited to solve? From a computational point of view, we argue that this structure is involved most critically in learning and memory tasks in which discontiguous items must be associated, in terms of their temporal or spatial positioning, or both.

摘要

长期以来,海马体一直被认为是参与联想学习和记忆的重要皮质区域。经过几十年的实验和理论研究,一幅关于这种神经结构可能对解决哪些类型的学习任务至关重要的图景正在慢慢浮现。最近,人们尝试将执行空间学习任务的啮齿动物的电生理和行为观察结果,与执行条件学习和辨别学习各种测试的灵长类动物的数据统一起来。这些理论框架大多主要基于行为观察。作为对这些观点的补充,我们提出一个问题:鉴于神经元和皮质层面存在某些生理限制,海马体尤其最适合解决哪一类学习问题?从计算的角度来看,我们认为,在学习和记忆任务中,如果不连续的项目必须根据其时间或空间定位,或两者同时进行关联,那么这个结构最为关键。

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